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Postdoctoral Fellowship in Cancer Epidemiology
The
Department of Public Health Sciences at the University of
Chicago seeks candidates for a fully-funded postdoctoral
position in the area of molecular epidemiology with special
focus on multiple myeloma. In applying emerging precision
medicine technologies and methods, our large-scale
epidemiology studies and clinical trials integrate genomics,
epigenomics, bioinformatics, machine learning, and
epidemiology to improve myeloma prevention and management.
Existing resources include data from GWAS, quantitative
imaging, genome-wide methylation in tumor cells and
circulating cell-free DNA, epidemiology questionnaires,
clinical and laboratory data, as well as biological samples.
The fellow will lead analysis and manuscript production on the
impact of epigenetics, genetics, and lifestyle and
environmental factors on risk and outcomes of multiple myeloma
and/or lymphoma. The postdoctoral scholar will also have an
active role in ongoing research on liquid biopsy-based cancer
biomarker development and have opportunities to initiate new
projects and/or develop grant proposals.
Successful
candidates will have strong epidemiology and biostatistics
methodological skills (e.g., Bayesian modeling) and
experiences in epigenetic and clinical epidemiology. The ideal
candidate will have a PhD or equivalent graduate degree in
epidemiology, biostatistics/data-science, computer science,
machine learning, or related fields. Understanding of
epigenetics, genetics, and epidemiology is required, so are
programming and data analytic skills in R, SAS, or STAT as
well as excellent writing and oral communication skills. The
postdoctoral fellow will work with dedicated mentors in a
dynamic, multidisciplinary research environment. The fellow is
encouraged to pursue career development activities, present at
professional conferences, develop independent research
projects, and apply for K99/R00 or other research grants. This
is a two-year position with the opportunity to renew for
multiple years.
Qualifications:
Ph.D. with
a strong background in epidemiology/biostatistics, epigenetics,
genetics, Bayesian models, survival analysis, longitudinal
data analysis, and machine learning. Expertise in biomarkers
and genomics is also a strength. A demonstrated ability to
work both independently as well as collaboratively with a
multi-disciplinary and diverse team is important.
Key
words: cancer,
myeloma, epidemiology, biostatistics, Bayesian statistics,
epigenetics, biomarkers
Please send
a letter including a statement of research interests and
future goals, curriculum vitae, and names/addresses of 3
references to: Dr. Brian Chiu (mmepi@health.bsd.uchicago.edu)
and Dr. Yuan Ji (yji@bsd.uchicago.edu).
Application review will begin immediately but will continue
until the position is filled. |
